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2020 – today
- 2024
[j6]Ziqing Xia
, Zhangyang Gao, Anfeng Liu, Neal N. Xiong:
AQND: An asymmetric quorum-based neighbor discovery protocol for reducing delay in sensor based systems. Inf. Sci. 654: 119820 (2024)- [j5]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Neural Comput. Appl. 36(33): 20849-20861 (2024) - [j4]Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [j3]Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li:
A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. IEEE Trans. Knowl. Data Eng. 36(9): 4375-4385 (2024) - [j2]Lirong Wu, Haitao Lin, Bozhen Hu, Cheng Tan, Zhangyang Gao, Zicheng Liu, Stan Z. Li:
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8497-8509 (2024) - [c28]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI 2024: 310-319 - [c27]Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI 2024: 12662-12670 - [c26]Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI 2024: 15222-15230 - [c25]Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li:
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CVPR 2024: 11704-11714 - [c24]Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li:
General Point Model Pretraining with Autoencoding and Autoregressive. CVPR 2024: 20954-20964 - [c23]Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, Bihui Yu, Stan Z. Li:
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training. ECCV (40) 2024: 305-322 - [c22]Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li:
DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE 2024: 2876-2888 - [c21]Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li:
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024 - [c20]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR 2024 - [c19]Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li:
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR 2024 - [c18]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. ICML 2024 - [c17]Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li:
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML 2024 - [c16]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML 2024 - [c15]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency. ECML/PKDD (3) 2024: 3-20 - [i47]Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li:
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CoRR abs/2402.02045 (2024) - [i46]Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang:
DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights. CoRR abs/2402.02088 (2024) - [i45]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR abs/2402.02464 (2024) - [i44]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR abs/2402.08198 (2024) - [i43]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR abs/2402.11459 (2024) - [i42]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR abs/2403.01400 (2024) - [i41]Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li:
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation. CoRR abs/2403.03483 (2024) - [i40]Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li:
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR abs/2403.09673 (2024) - [i39]Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li:
UniIF: Unified Molecule Inverse Folding. CoRR abs/2405.18968 (2024) - [i38]Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning. CoRR abs/2405.20834 (2024) - [i37]Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li:
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. CoRR abs/2406.05688 (2024) - [i36]Zhangyang Gao, Cheng Tan, Stan Z. Li:
FoldToken2: Learning compact, invariant and generative protein structure language. CoRR abs/2407.00050 (2024) - 2023
- [j1]Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. 35(4): 4216-4235 (2023) - [c14]Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR 2023: 18770-18782 - [c13]Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li:
Global-Context Aware Generative Protein Design. ICASSP 2023: 1-5 - [c12]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. ICLR 2023 - [c11]Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li:
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR 2023 - [c10]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS 2023 - [c9]Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li:
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. NeurIPS 2023 - [c8]Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li:
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS 2023 - [c7]Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li:
Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) 2023: 3-18 - [c6]Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li:
Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) 2023: 405-421 - [c5]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-Aware Molecular Graph Generation. ECML/PKDD (6) 2023: 410-427 - [i35]Zhangyang Gao, Cheng Tan, Stan Z. Li:
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. CoRR abs/2301.09642 (2023) - [i34]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Generative Tertiary Structure-based RNA Design. CoRR abs/2301.10774 (2023) - [i33]Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li:
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR abs/2302.07120 (2023) - [i32]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR abs/2305.09480 (2023) - [i31]Zhangyang Gao, Cheng Tan, Stan Z. Li:
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR abs/2305.15151 (2023) - [i30]Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li:
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing. CoRR abs/2305.15153 (2023) - [i29]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR abs/2306.11249 (2023) - [i28]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. CoRR abs/2307.12626 (2023) - [i27]Zhangyang Gao, Cheng Tan, Stan Z. Li:
VQPL: Vector Quantized Protein Language. CoRR abs/2310.04985 (2023) - [i26]Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li:
Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR abs/2310.05829 (2023) - [i25]Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR abs/2310.11466 (2023) - [i24]Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang:
General Point Model with Autoencoding and Autoregressive. CoRR abs/2310.16861 (2023) - [i23]Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li:
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. CoRR abs/2311.14109 (2023) - [i22]Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models. CoRR abs/2312.04019 (2023) - [i21]Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li:
MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR abs/2312.06297 (2023) - 2022
- [c4]Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li:
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI 2022: 7470-7478 - [c3]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CVPR 2022: 3160-3170 - [c2]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CVPR 2022: 7234-7245 - [c1]Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li:
GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) 2022: 519-535 - [i20]Zhangyang Gao, Cheng Tan, Stan Z. Li:
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR abs/2202.01079 (2022) - [i19]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-aware Molecular Graph Generation. CoRR abs/2202.04829 (2022) - [i18]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR abs/2202.08205 (2022) - [i17]Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li:
Generative De Novo Protein Design with Global Context. CoRR abs/2204.10673 (2022) - [i16]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CoRR abs/2206.00845 (2022) - [i15]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CoRR abs/2206.05099 (2022) - [i14]Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR abs/2206.12126 (2022) - [i13]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
CoSP: Co-supervised pretraining of pocket and ligand. CoRR abs/2206.12241 (2022) - [i12]Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Model. CoRR abs/2209.02646 (2022) - [i11]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. CoRR abs/2209.12643 (2022) - [i10]Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li:
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR abs/2210.02097 (2022) - [i9]Cheng Tan, Zhangyang Gao, Stan Z. Li:
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR abs/2211.12509 (2022) - [i8]Cheng Tan, Zhangyang Gao, Stan Z. Li:
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR abs/2212.14041 (2022) - 2021
- [i7]Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li:
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR abs/2101.01000 (2021) - [i6]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR abs/2105.07342 (2021) - [i5]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR abs/2106.11133 (2021) - [i4]Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li:
Git: Clustering Based on Graph of Intensity Topology. CoRR abs/2110.01274 (2021) - [i3]Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li:
Extensive Deep Temporal Point Process. CoRR abs/2110.09823 (2021) - 2020
- [i2]Zhangyang Gao, Haitao Lin, Stan Z. Li:
Clustering Based on Graph of Density Topology. CoRR abs/2009.11612 (2020) - [i1]Zhangyang Gao, Haitao Lin, Stan Z. Li:
LookHops: light multi-order convolution and pooling for graph classification. CoRR abs/2012.15741 (2020)
Coauthor Index
[j5] [j4] [j3] [j2] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [j1] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c4] [c3] [c2] [c1] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j5] [j4] [j2] [c28] [c26] [c25] [c24] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i47] [i46] [i45] [i44] [i43] [i42] [i40] [i39] [i38] [i37] [i36] [j1] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [i22] [i21] [c3] [c2] [c1] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i6] [i5] [i4] [i3]
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